{"id":"W1986820338","doi":"10.1177/1078087404273443","title":"The Construction of the Geography of Immigration as a Policy Problem","year":2005,"lang":"en","type":"article","venue":"Urban Affairs Review","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Immigration; Census; Settlement (finance); Newspaper; Immigration policy; Biological dispersal; Government (linguistics); Construct (python library); Geography; Sociology; Economic growth; Political science; Public administration; Law; Economics; Demography; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004803118,0.000339735,0.000609795,0.004793126,0.007774855,0.01518615,0.001113267,0.002641963,0.001906676],"category_scores_gemma":[0.007028076,0.0003046981,0.0003405865,0.006188337,0.06777625,0.01015398,0.005453357,0.00355487,0.0001669582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02240155,"about_ca_system_score_gemma":0.01908943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05722776,"about_ca_topic_score_gemma":0.05009986,"domain_scores_codex":[0.9932467,0.004845057,0.0001703716,0.0004522527,0.000736882,0.0005487743],"domain_scores_gemma":[0.9961015,0.002461658,0.0005983639,0.0002620691,0.0004251084,0.0001513457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004472635,0.000004469535,0.0007247514,0.00009186695,0.000004511693,0.0001696857,0.01591537,0.000255268,0.00005059875,0.9766699,0.001272961,0.004836228],"study_design_scores_gemma":[0.00001577263,0.00002196165,0.005039634,0.0009964948,0.00002517037,0.0003220928,0.195491,0.0005535396,0.0001821424,0.5699289,0.2273988,0.00002452957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1771189,0.04901167,0.01561737,0.2839069,0.001123517,0.0000855661,0.0002237243,0.00005361585,0.4728588],"genre_scores_gemma":[0.9769073,0.01380281,0.00226425,0.003011904,0.0002868361,0.00006694242,0.00004448164,0.00002228493,0.003593162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05722776,"threshold_uncertainty_score":0.1625354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006574964824710191,"score_gpt":0.2759002660978236,"score_spread":0.2693253012731134,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}